COMPUTATIONAL SOCIAL SCIENCE
The Department of Political Science and the Department of Public Administration and Policy in the University of Georgia’s School of Public and International Affairs invite applications for a joint tenure-track assistant or associate professorship starting in August 2016. Candidates should demonstrate an ability to examine and use large and/or untraditional data, with a specialization in one or more of the following areas: unstructured data, text analysis, machine learning, large network data, visualization, clustering, or other advanced computational methods. A Ph.D. in political science, public administration, public policy, sociology, statistics, computer science, operations research, or another appropriate discipline is required. This position is part of a university-wide initiative to recruit new faculty across disciplines to enhance the University’s ability to engage in Informatics-based instruction and world-changing scholarship.
Candidates must demonstrate the potential for excellence in scholarship. Those with a clear potential and prospects for securing external research funding are especially encouraged to apply. Applicants should submit a letter of interest, a current curriculum vitae, a recent publication or research-related writing sample, teaching evaluations (if available), and three letters of recommendation either electronically to papolicy@uga.edu or by mail to Keith T. Poole, Computational Social Science Recruitment Committee Chair, Department of Political Science, Baldwin Hall, University of Georgia, Athens, GA 30602-1615. Applications received by October 2, 2015, will receive full consideration, but applications will be accepted until the position is filled. For more information about the departments visit http://www.polisci.uga.edu and www.padp.uga.edu.
The University of Georgia is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, disability, or protected veteran status.
The Department of Political Science and the Department of Public Administration and Policy in the University of Georgia’s School of Public and International Affairs invite applications for a joint tenure-track assistant or associate professorship starting in August 2016. Candidates should demonstrate an ability to examine and use large and/or untraditional data, with a specialization in one or more of the following areas: unstructured data, text analysis, machine learning, large network data, visualization, clustering, or other advanced computational methods. A Ph.D. in political science, public administration, public policy, sociology, statistics, computer science, operations research, or another appropriate discipline is required. This position is part of a university-wide initiative to recruit new faculty across disciplines to enhance the University’s ability to engage in Informatics-based instruction and world-changing scholarship.
Candidates must demonstrate the potential for excellence in scholarship. Those with a clear potential and prospects for securing external research funding are especially encouraged to apply. Applicants should submit a letter of interest, a current curriculum vitae, a recent publication or research-related writing sample, teaching evaluations (if available), and three letters of recommendation either electronically to papolicy@uga.edu or by mail to Keith T. Poole, Computational Social Science Recruitment Committee Chair, Department of Political Science, Baldwin Hall, University of Georgia, Athens, GA 30602-1615. Applications received by October 2, 2015, will receive full consideration, but applications will be accepted until the position is filled. For more information about the departments visit http://www.polisci.uga.edu and www.padp.uga.edu.
The University of Georgia is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, disability, or protected veteran status.